Analytics Engineer II - Regulatory Reporting
Build and operate the data platform supporting automated regulatory reporting for a prediction markets business. The role combines SQL and dbt development, end-to-end data investigation, automated validation, and cross-functional ownership under strict deadlines.
About the job
Responsibilities
- Run daily validation of regulatory reporting submissions, verify accuracy, flag breaks, and own triage.
- Investigate data issues end to end using raw data, document findings, and provide actionable follow-up.
- Build and maintain purpose-built, tested dbt models for regulatory reporting.
- Implement automated test cases and validations to identify recurring issues early.
- Support pre-launch submission validation, audit requests, and legal and state data pulls.
- Monitor upstream product and engineering changes, assess reporting impact, and raise issues proactively.
- Participate in the broader team's on-call rotation.
Requirements
- Strong SQL skills, including complex queries and raw-data investigation.
- Engineering mindset focused on pipelines, automation, and reliability.
- Hands-on experience with dbt.
- Ability to work reliably under deadlines and communicate issues early.
- Ability to collaborate across engineering, product, compliance, and leadership.
Nice-to-haves
- Experience in a federally regulated environment, prediction markets platform, fintech, crypto exchange, or neobank.
- Sports industry experience, especially fantasy sports or sports betting.
- Reconciliation, trade-level reporting, or data validation experience.
- Hands-on experience with Airflow or similar orchestration tools.
- Experience with data contracts, schema registries, or similar methods for managing upstream dependencies.
- Exposure to prediction markets, derivatives, or exchange operations.
- On-call or SLA-driven data work experience.
Compensation and Benefits
- Target starting base salary: $135,000–$150,000 USD, plus target equity.
- Unlimited PTO for full-time employees.
- 16 weeks of fully paid parental leave.
- Home office stipend.
- Virtual-first culture with periodic in-person offsites, trainings, and hackathons.
- 401(k) with up to 5% employer match.
- Company-paid health, dental, and vision plan options, plus FSA.
Skills
SQL, dbt, Airflow, Data Validation, Data Modeling, Data Pipelines, Automated Testing, Data Contracts, Schema Registries, Regulatory Reporting
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